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On-line auctions pose many challenges for the empirical researcher, one of which is the effective and reliable modelling of price paths. We propose a novel way of modelling price paths in eBay's on-line auctions by using functional data analysis. One of the practical challenges is that the...
Persistent link: https://www.econbiz.de/10005217076
Functional data analysis can be challenging when the functional objects are sampled only very sparsely and unevenly. Most approaches rely on smoothing to recover the underlying functional object from the data which can be difficult if the data is irregularly distributed. In this paper we present...
Persistent link: https://www.econbiz.de/10003365544
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In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors. The common approach uses the representation of additive models as mixed...
Persistent link: https://www.econbiz.de/10010266248
In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors. The common approach uses the representation of additive models as mixed...
Persistent link: https://www.econbiz.de/10003135746
Forecasting prices in online auctions is important for both buyers and sellers. With good forecasts, bidders can make informed bidding decisions and sellers can select the right time and place to list their products. While information from other auctions can help forecast an ongoing auction, it...
Persistent link: https://www.econbiz.de/10008871344
The path that the price takes during an on-line auction plays an important role in understanding and forecasting on-line auctions. Price dynamics, such as the price velocity or its acceleration, capture the speed at which auction information changes. The ability to estimate price dynamics...
Persistent link: https://www.econbiz.de/10008671171
This paper presents a novel intelligent bidding system, called SOABER (Simultaneous Online Auction BiddER), which monitors simultaneous online auctions of high-value fine art items. It supports decision-making by maximizing bidders' surpluses and their chances of winning an auction. One key...
Persistent link: https://www.econbiz.de/10009292693
The wide and growing popularity of online auctions creates enormous amounts of publicly available bid data providing an important topic for research. These data pose unique statistical challenges because of their special structures. This research focuses on methods for representing, visualizing,...
Persistent link: https://www.econbiz.de/10009450765
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